{"id":"W3154387945","doi":"10.3758/s13421-021-01176-z","title":"Processing cataphors: Active antecedent search is persistent","year":2021,"lang":"en","type":"article","venue":"Memory & Cognition","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital","funders":"St. Olavs Hospital Universitetssykehuset i Trondheim; Norges Teknisk-Naturvitenskapelige Universitet; City University of New York","keywords":"Antecedent (behavioral psychology); Psychology; Object (grammar); Coreference; Subject (documents); Parsing; Sentence; Reading (process); Position (finance); Argument (complex analysis); Cognitive psychology; Linguistics; Social psychology; Natural language processing; Artificial intelligence; Resolution (logic); Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001324894,0.0003142875,0.0004734365,0.0005438611,0.0006858887,0.002786063,0.0007679434,0.001028049,0.005661573],"category_scores_gemma":[0.009390377,0.0008559337,0.0004492874,0.0005794811,0.001955203,0.006428666,0.002170146,0.001332253,0.0006256149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006502449,"about_ca_system_score_gemma":0.0009432322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002091483,"about_ca_topic_score_gemma":0.002527136,"domain_scores_codex":[0.999087,0.0001151738,0.00007294754,0.0003872947,0.0002249344,0.0001126348],"domain_scores_gemma":[0.9927812,0.003564862,0.000962543,0.001765851,0.0006151365,0.0003103519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00311589,0.0004304792,0.1002611,0.001997375,0.0003209072,0.003575134,0.02512233,0.001563073,0.5205976,0.08227753,0.004235083,0.2565035],"study_design_scores_gemma":[0.0004120925,0.001697306,0.3882676,0.0005697114,0.0008296964,0.01074638,0.0166582,0.02773405,0.1502758,0.3758781,0.02652846,0.0004025591],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9437364,0.000918797,0.0320185,0.0007477877,0.00007567788,0.00007135899,0.0002868348,0.0003148234,0.02182975],"genre_scores_gemma":[0.9894987,0.000248693,0.008009292,0.0001319798,0.00002178186,0.00002457421,0.0003263093,0.00009602354,0.001642548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005661573,"threshold_uncertainty_score":0.01893985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06280690615825907,"score_gpt":0.3144634180535787,"score_spread":0.2516565118953196,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}